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Identifying Hub Wastewater Propagation Chains in China's National Economic System: A Model Coupled Input-Output Analysis with Graphical Theory
Li, Xuefeng1,2; Liu, Xiuli1,2,3
2021-09-01
Source PublicationWATER
Volume13Issue:17Pages:15
AbstractWastewater propagation chains (WPCs) measure inter-sector average propagation lengths (APL) of wastewater discharge. To achieve sustainable wastewater management, one needs to understand the propagation mechanisms by identifying WPCs at a national level over time. However, the traditional model of identifying WPCs is prone to retaining APLs with lower values but larger wastewater discharge intensities, ignoring many linkages whereby intensities are less than a preset threshold. Nevertheless, these overlooked linkages are valuable in understanding wastewater propagation mechanisms. This study proposed a new model coupled input-output analysis with the graphical theory, called the average propagation lengths-hub covariance graph (APL-HCG). This model can investigate WPCs where the closeness of sector linkages exceeds the preset thresholds. Furthermore, it is capable of retaining linkages for identifying hub wastewater propagation chains (HWPCs). Based on APL-HCG, the resultant HWPCs are decomposed as separated sub-chains which are basically composed of linkages among certain significant sectors belonging to the secondary industry or the tertiary industry. Scenario analyses show that HWPCs are effective in reducing wastewater discharge in the national economic system. The total wastewater discharge would decrease by 1.36%, 2.53%, 2.46%, and 2.11% if we reduced 10% of the final demand of all sectors in HWPCs in 2002, 2007, 2012, and 2017. The APL-HCG model outperforms the traditional model on WPCs by 0.14%, 1.61%, 0.47%, and 0.10%, respectively. The APL-HCG model is 0.21%, 0.68%, 0.70%, and 0.35% better than the scenario of random sampling with the number of sectors equal to HWPCs, respectively. Certain policy implications were provided to reduce wastewater effectively at the national level.
Keywordwastewater reduction hub wastewater propagation chains average propagation lengths-hub covariance graph (APL-HCG) model input-occupancy-output analysis
DOI10.3390/w13172351
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[71874184]
WOS Research AreaEnvironmental Sciences & Ecology ; Water Resources
WOS SubjectEnvironmental Sciences ; Water Resources
WOS IDWOS:000694527600001
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/59237
Collection中国科学院数学与系统科学研究院
Corresponding AuthorLiu, Xiuli
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, Zhongguancun East Rd 55, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Ctr Forecasting Sci, Zhongguancun East Rd 55, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Li, Xuefeng,Liu, Xiuli. Identifying Hub Wastewater Propagation Chains in China's National Economic System: A Model Coupled Input-Output Analysis with Graphical Theory[J]. WATER,2021,13(17):15.
APA Li, Xuefeng,&Liu, Xiuli.(2021).Identifying Hub Wastewater Propagation Chains in China's National Economic System: A Model Coupled Input-Output Analysis with Graphical Theory.WATER,13(17),15.
MLA Li, Xuefeng,et al."Identifying Hub Wastewater Propagation Chains in China's National Economic System: A Model Coupled Input-Output Analysis with Graphical Theory".WATER 13.17(2021):15.
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